{ "data": { "a": { "slug": "landingai-agentic-document-extraction", "name": "LandingAI Agentic Document Extraction", "vendor": "LandingAI, Inc.", "vendorUrl": "https://landing.ai", "kind": "http-api", "category": "document-extraction", "summary": "LandingAI's Agentic Document Extraction is a hosted API that parses PDFs, images, Office files and spreadsheets into Markdown with page coordinates, then extracts fields against a JSON schema. Python and TypeScript libraries and a CLI call it.", "url": "https://www.anchorterminal.com/tools/landingai-agentic-document-extraction", "markdownUrl": "https://www.anchorterminal.com/tools/landingai-agentic-document-extraction.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/landingai-agentic-document-extraction.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/landingai-agentic-document-extraction.json", "repo": "https://github.com/landing-ai/ade-python", "license": "Proprietary service under LandingAI's terms for Agentic Document Extraction. The Python and TypeScript libraries and the CLI are Apache-2.0, and the skills repository is MIT", "transports": [ "http" ], "remoteUrl": "https://api.ade.landing.ai", "packages": [ { "registry": "pypi", "name": "landingai-ade" }, { "registry": "npm", "name": "landingai-ade" } ], "auth": "api-key", "authNotes": "A Bearer API key in the `Authorization` header, created by a person in the web app at ade.landing.ai after signup. Access is self-serve with no review. The Explore plan has one key, which cannot be deleted or revoked (support replaces a leaked key by email). Team and Enterprise organisations create several named keys and revoke them, and Admin and Developer roles decide who may revoke. Keys have no scopes and are specific to the US or EU deployment. Enterprise adds SSO and an IP allowlist. The CLI also accepts a browser login.", "pricing": "usage", "pricingNotes": "A credit costs $0.01 on the Explore and Team plans, and signup includes 1,000 free credits with no card, so an agent's owner can start without a contract. DPT-3 Pro parsing consumes 1 credit a page plus 0.5 credits per 1,000 output characters on the priority tier and half that on the standard tier. Extract is charged per input and output character, and Ground is free. Team plans start at $250 a month. Enterprise prices are on request (https://docs.landing.ai/ade/ade-pricing, checked 2026-10-09).", "priceSummary": "$0.01 / credit", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the OpenAPI description or the pricing pages (checked 2026-10-09).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://docs.landing.ai/dpt3/overview", "llmsTxt": "https://docs.landing.ai/llms.txt", "openapi": "https://docs.landing.ai/dpt3/openapi-adev2.json", "capabilities": [ "docs.parse", "docs.extract", "docs.tables", "docs.ocr", "docs.chunk", "docs.classify" ], "tags": [ "hosted", "api-key", "openapi", "llms-txt", "python", "typescript", "cli", "webhooks", "async-jobs", "eu-region", "status-page", "soc2", "closed-source" ], "lastRelease": "2026-09-22", "graded": true, "anchor": { "graded": true, "score": 69, "grade": "B", "agentReady": false, "rank": 199, "ranked": true, "rankOf": 950, "categoryRank": 3, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 85, "payments": 40, "reliability": 85, "schema": 88, "security": 43, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": 0, "verdict": "Parse, Extract and Ground have a public OpenAPI description, Markdown docs, published credit rates and page limits, and a status page showing no incident in 90 days. The Explore plan's single API key cannot be revoked without support, and the published terms let LandingAI train on customer documents unless Zero Data Retention, a Team and Enterprise setting, is on.", "bestFor": "Agents that need Markdown with block-level page coordinates and schema extraction with citations, in the US or EU.", "strengths": [ "Public OpenAPI 3.1 description of the nine Gen2 operations, `llms.txt`, `llms-full.txt` and a Markdown twin of every docs page", "Credit rates published per page and per 1,000 characters, and each response reports the credits it consumed in `metadata.billing`", "1,000 free credits on signup with no card, then $0.01 a credit on the Explore and Team plans", "status.landing.ai lists US and EU components for the product and no incident since 30 April 2026", "Troubleshooting pages list each status code and 422 message with its cause and fix, and say when credits are not consumed" ], "weaknesses": [ "The Explore plan has one API key that cannot be deleted or revoked. A leaked key is replaced by emailing support", "The published terms let LandingAI use customer materials and output to train its models. Zero Data Retention, which stops that, is a Team and Enterprise setting", "The terms forbid accessing the Solution through any agent, robot or tool LandingAI does not supply, and forbid benchmarking. This matters before any probe is run", "No idempotency key on job creation and no `Retry-After` header in the reviewed documentation", "No scoped or read-only keys, and no prompt-injection guidance for parsed document text was found", "The 18-hour-55-minute parsing incident of 30 April 2026 and two in February and March 2026 were attributed to a cloud provider" ], "agentNotes": [ "Send `Authorization: Bearer \u003ckey\u003e` to `https://api.ade.landing.ai/v2/parse`. EU keys work only on `https://api.ade.eu-west-1.landing.ai`", "Submit large files to `/v2/parse/jobs`. Synchronous parse times out at 475 seconds and is capped at the plan's pages-per-minute limit", "Leave jobs on the `standard` tier unless speed matters. It consumes half the credits of `priority`", "Run Extract on the Markdown that Parse returned, then call Ground for page numbers and boxes. Ground consumes no credits", "On a 429, read the message. One case clears with backoff and the other means the document is too large for the tier" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 69 } ], "editorialScores": { "ergonomics": 75, "maintenance": 85, "payments": 40, "reliability": 85, "schema": 88, "security": 43, "transparency": 49 }, "provenanceScore": 76 }, "connect": { "install": "pip install landingai-ade", "http": "curl -X POST 'https://api.ade.landing.ai/v2/parse' \\\n -H 'Authorization: Bearer YOUR_API_KEY' \\\n -F 'document=@document.pdf' \\\n -F 'model=dpt-3-pro-latest'", "claudeCode": "/plugin marketplace add landing-ai/ade-document-processing-skills\n/plugin install ade-document-processing@ade-document-processing-skills" }, "letme": { "capability": "https://letme.dev/docs.parse", "tool": "https://letme.dev/landingai-agentic-document-extraction" }, "area": "web-data", "unitPrices": [ { "item": "Credit (Explore and Team plans)", "unit": "credit", "usd": 0.01, "note": "1,000 free credits on signup" }, { "item": "DPT-3 Pro parse, standard tier, typical business page", "unit": "1k-pages", "usd": 15, "note": "vendor's median of 1.5 credits a page. Actual use is 0.5 credits a page plus 0.25 per 1,000 output characters" }, { "item": "Team plan, smallest credit pack", "unit": "month", "usd": 250, "note": "25,000 credits a month" } ], "provenance": { "legalEntity": "LandingAI, Inc.", "domain": "landing.ai", "domainRegistered": "2017-12-15", "endpointOnVendorDomain": true, "terms": "https://landing.ai/va-tos", "privacy": "https://landing.ai/privacy-policy", "statusPage": "https://status.landing.ai", "changelog": "https://docs.landing.ai/dpt3/changelog", "securityTxt": "none", "checked": "2026-10-09", "notes": [ "https://landing.ai/va-tos is titled Terms of Service (Agentic Document Extraction \u0026 Agentic Object Detection), names LandingAI, Inc., and carries no date. It is governed by California law.", "https://landing.ai/terms-of-service (last updated 6 May 2024) covers the platform services and LandingLens and says a Master Subscription Agreement supersedes it where one exists.", "landing.ai/robots.txt disallows `/legal/msa-ade-US-2026-02-11` and `/legal/msa-ade-EU-2026-02-11`. We did not read them, so we could not confirm whether an agreement dated 11 February 2026 replaces the terms we link.", "The privacy policy covers website visitors, service users and clients, names a data protection lead and EU and UK representatives, and shows no effective date in the text our reader received.", "https://landing.ai/.well-known/security.txt returns 404. The libraries' SECURITY.md asks for reports through GitHub private vulnerability reporting or support@landing.ai.", "RDAP for landing.ai gives a registration date of 2017-12-15 and Key-Systems GmbH as registrar.", "The trust centre at trust.landing.ai is drawn by script and showed our reader only its title, so the sub-processor list and compliance reports were not read." ], "score": 76 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/landingai-agentic-document-extraction.json", "live": { "slug": "landingai-agentic-document-extraction", "probe": { "target": "https://api.ade.landing.ai", "method": "get", "lastAt": "2026-10-10T02:54:59.888349762Z", "lastOk": true, "lastStatus": 404, "lastMs": 304, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 301, "p95ms24h": 363, "samples24h": 115, "samples30d": 115, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 30, "ok": 30 } ] }, "vendorStatus": { "page": "https://status.landing.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-10T00:50:45.144124198Z" }, "versions": [ { "registry": "github", "name": "landing-ai/ade-python", "version": "v1.18.1", "released": "2026-09-17", "seenAt": "2026-10-09T17:01:18.849971761Z" }, { "registry": "npm", "name": "landingai-ade", "version": "2.13.1", "seenAt": "2026-10-09T17:01:18.017039484Z" }, { "registry": "pypi", "name": "landingai-ade", "version": "1.18.1", "released": "2026-09-17", "seenAt": "2026-10-09T17:01:17.817666514Z" } ], "githubStars": 1034, "npmWeekly": 5401, "pypiWeekly": 27686, "pages": [ { "url": "https://docs.landing.ai/dpt3/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:37:36.954323206Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "57bf76e17c06" }, { "url": "https://docs.landing.ai/ade/ade-pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:37:34.762764189Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ad0ee52319b9" }, { "url": "https://landing.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:40:52.205925369Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "2592e638a214" }, { "url": "https://landing.ai/va-tos", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:40:54.687010711Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "0b8a537d9745" } ], "updatedAt": "2026-10-10T02:54:59.888349762Z" } }, "answer": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Mindee API's 61.3 (C), and leads in 5 of 7 scored categories.", "b": { "slug": "mindee", "name": "Mindee API", "vendor": "Mindee", "vendorUrl": "https://www.mindee.com", "kind": "http-api", "category": "document-extraction", "summary": "Hosted extraction, classification, split, crop and raw-text OCR models that you define in the Mindee platform, then call by model ID through an async REST API.", "url": "https://www.anchorterminal.com/tools/mindee", "markdownUrl": "https://www.anchorterminal.com/tools/mindee.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mindee.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mindee.json", "transports": [ "http" ], "remoteUrl": "https://api-v2.mindee.net/v2", "packages": [ { "registry": "pypi", "name": "mindee" }, { "registry": "npm", "name": "mindee" } ], "auth": "api-key", "authNotes": "API key sent as the raw Authorization header value (no Bearer prefix). Each request also names a model_id created in the Mindee platform.", "pricing": "paid", "pricingNotes": "14-day free trial, card requirement not stated on the pricing page. Starter is 44 a month billed annually (529 a year) with one seat, Pro 116 a month billed annually (1,393 a year) with unlimited seats, processing localisation and live chat. Credit options run from 6,000 to 300,000, shown at about 0.044 a credit at 6,000. One page is 1 credit, 1.5 with confidence scores and 0.25 for utilities. Overage is charged at the plan's unit rate plus 20%, and unused credits don't carry over. Enterprise starts at 500,000 credits a year. The pricing page showed us dollars and the docs list the same figures in euros (https://www.mindee.com/pricing).", "priceSummary": "$44 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 or per-call crypto payment in docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 42, "npmWeekly": 33264, "pypiWeekly": 5513, "asOf": "2026-09-30" }, "docsUrl": "https://docs.mindee.com", "llmsTxt": "https://docs.mindee.com/llms.txt", "openapi": "https://api-v2.mindee.net/openapi.json", "capabilities": [ "docs.ocr", "docs.extract", "docs.classify" ], "tags": [ "hosted", "llms-txt", "openapi", "python", "typescript", "webhooks", "async-jobs", "enterprise", "closed-source" ], "lastRelease": "2026-09-30", "graded": true, "anchor": { "graded": true, "score": 61.3, "grade": "C", "agentReady": false, "rank": 469, "ranked": true, "rankOf": 950, "categoryRank": 7, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 68, "maintenance": 85, "payments": 25, "reliability": 65, "schema": 86, "security": 40, "transparency": 65 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Extracted data kept 12 hours by default (1 to 24 configurable), deletable on fetch, source files never stored. Every call needs a model_id created in the web platform first.", "bestFor": "Teams with a fixed set of document types (invoices, receipts, IDs) who want short retention and EU processing.", "strengths": [ "Extracted data kept 12 hours by default (1 to 24 configurable), deletable on fetch, source files never stored", "EU or US processing selectable, and SOC 2 Type II per the docs", "Problem-details errors with 15 documented cases", "Published rate limits, 200 enqueue and 1,200 polling requests a minute", "Python SDK v5.4.0 on 2026-09-30 and Node.js v5.10.0 on 2026-09-23, both with test workflows" ], "weaknesses": [ "Every call needs a model_id created in the web platform first", "No free tier after the 14-day trial, and the pricing page's platform fee and currency were unclear to us", "Organisation-wide keys that never expire and reach every model", "No official MCP server", "No Retry-After on 429 and no idempotency key" ], "agentNotes": [ "Create the model in the Mindee app and store its `model_id`; the API can't create one for you", "Enqueue returns 202; poll the job or use a webhook, and keep polling under 1,200 a minute", "Send `Authorization: $MINDEE_API_KEY` with no Bearer prefix", "Turn on confidence scores only when needed, since they cost 1.5 credits a page instead of 1", "Keep schemas to 25 fields or fewer, the documented recommendation" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.3 } ], "editorialScores": { "ergonomics": 68, "maintenance": 85, "payments": 25, "reliability": 65, "schema": 86, "security": 40, "transparency": 58 }, "provenanceScore": 71 }, "connect": { "install": "pip install mindee # or: npm i mindee", "http": "curl -X POST https://api-v2.mindee.net/v2/products/extraction/enqueue -H \"Authorization: $MINDEE_API_KEY\" \\\n -F \"model_id=$MINDEE_MODEL_ID\" -F \"file=@invoice.pdf\"" }, "letme": { "capability": "https://letme.dev/docs.ocr", "tool": "https://letme.dev/mindee" }, "area": "web-data", "unitPrices": [ { "item": "Starter plan", "unit": "month", "usd": 44, "note": "billed annually, $529 a year, one seat" }, { "item": "Pro plan", "unit": "month", "usd": 116, "note": "billed annually, $1,393 a year, unlimited seats" }, { "item": "Credits at the 6,000 option", "unit": "1k-pages", "usd": 44, "note": "about $0.044 a credit, 1 credit a page, 1.5 with confidence scores" } ], "provenance": { "legalEntity": "Mindee SAS (Mindee Inc. outside the Eurozone)", "domain": "mindee.com", "domainRegistered": "2005-01-20", "endpointOnVendorDomain": false, "terms": "https://www.mindee.com/legals/terms-of-service", "privacy": "https://www.mindee.com/legals/privacy-policy", "statusPage": "https://status.mindee.com/", "changelog": "https://feedback.mindee.com/en/changelog", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "The API is served from mindee.net, not mindee.com", "mindee.com was registered in 2005, long before the company was founded" ], "score": 71 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/mindee.json", "live": { "slug": "mindee", "probe": { "target": "https://api-v2.mindee.net/v2", "method": "get", "lastAt": "2026-10-10T02:55:02.488881252Z", "lastOk": true, "lastStatus": 404, "lastMs": 63, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 61, "p95ms24h": 126, "samples24h": 249, "samples30d": 2466, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 30, "ok": 30 } ] }, "vendorStatus": { "page": "https://status.mindee.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T02:50:27.686141049Z" }, "versions": [ { "registry": "npm", "name": "mindee", "version": "5.10.0", "seenAt": "2026-10-09T17:06:10.166981861Z" }, { "registry": "pypi", "name": "mindee", "version": "5.4.0", "released": "2026-09-30", "seenAt": "2026-10-09T17:06:09.978493705Z" } ], "npmWeekly": 22979, "pypiWeekly": 4741, "securityTxt": { "url": "https://mindee.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:39:25.577157232Z" }, "llmsTxt": { "url": "https://docs.mindee.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:18.138198986Z" }, "domain": { "domain": "mindee.com", "registered": "2005-01-20", "source": "https://rdap.verisign.com/com/v1/domain/mindee.com", "checkedAt": "2026-10-04T13:06:00.95648107Z" }, "pages": [ { "url": "https://feedback.mindee.com/en/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:39:23.444900542Z", "changedAt": "2026-10-02T15:21:01.388354435Z", "fingerprint": "be401f90b915" }, { "url": "https://www.mindee.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:52:20.926894988Z", "changedAt": "2026-10-09T18:52:20.926894988Z", "fingerprint": "d497e4bec070" }, { "url": "https://www.mindee.com/legals/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:52:16.71910412Z", "changedAt": "2026-10-09T18:52:16.71910412Z", "fingerprint": "e0779fd3963d" }, { "url": "https://www.mindee.com/legals/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:52:18.809641202Z", "changedAt": "2026-10-09T18:52:18.809641202Z", "fingerprint": "c71768841a28" } ], "updatedAt": "2026-10-10T02:55:02.488881252Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "LandingAI, Inc.", "b": "Mindee", "name": "Vendor" }, { "a": "https://api.ade.landing.ai", "b": "https://api-v2.mindee.net/v2", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Paid", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under LandingAI's terms for Agentic Document Extraction. The Python and TypeScript libraries and the CLI are Apache-2.0, and the skills repository is MIT", "b": "none", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-22", "b": "2026-09-30", "name": "Last release" }, { "a": "no date given", "b": "2025-06-23", "name": "Terms last updated" }, { "a": "no date given", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "yes", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "42 stars, 33k npm/wk, 5.5k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Mindee API's 61.3 (C), and leads in 5 of 7 scored categories.", "question": "Which is better for AI agents, LandingAI Agentic Document Extraction or Mindee API?" }, { "answer": "Both need an API key.", "question": "Do LandingAI Agentic Document Extraction and Mindee API need an API key?" }, { "answer": "Yes. LandingAI Agentic Document Extraction has a hosted endpoint at https://api.ade.landing.ai and Mindee API at https://api-v2.mindee.net/v2.", "question": "Can an agent call LandingAI Agentic Document Extraction and Mindee API without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 85 against 65", "Agent ergonomics, 75 against 68", "Payments \u0026 pricing, 40 against 25" ], "also": null, "goodFor": "Agents that need Markdown with block-level page coordinates and schema extraction with citations, in the US or EU.", "slug": "landingai-agentic-document-extraction", "watchFor": "The Explore plan has one API key that cannot be deleted or revoked. A leaked key is replaced by emailing support" }, { "aheadOn": null, "also": null, "goodFor": "Teams with a fixed set of document types (invoices, receipts, IDs) who want short retention and EU processing.", "slug": "mindee", "watchFor": "Every call needs a model_id created in the web platform first" } ], "job": { "capability": "docs.ocr", "name": "OCR" }, "others": [ { "json": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-landingai-agentic-document-extraction.json", "title": "Adobe PDF Services / PDF Extract API vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-landingai-agentic-document-extraction.json", "title": "Amazon Textract vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-landingai-agentic-document-extraction.json", "title": "Azure Document Intelligence vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/extend-vs-landingai-agentic-document-extraction.json", "title": "Extend API + MCP vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/extend-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-landingai-agentic-document-extraction.json", "title": "Google Cloud Document AI vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.json", "title": "LandingAI Agentic Document Extraction vs LlamaParse API + MCP", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mistral-ocr.json", "title": "LandingAI Agentic Document Extraction vs Mistral OCR API", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mistral-ocr" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-nanonets.json", "title": "LandingAI Agentic Document Extraction vs Nanonets API + MCP", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-nanonets" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-opendocrouter.json", "title": "LandingAI Agentic Document Extraction vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto.json", "title": "LandingAI Agentic Document Extraction vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-unstructured.json", "title": "LandingAI Agentic Document Extraction vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-mindee.json", "title": "Adobe PDF Services / PDF Extract API vs Mindee API", "url": "https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-mindee" }, { "json": "https://www.anchorterminal.com/compare/amazon-textract-vs-mindee.json", "title": "Amazon Textract vs Mindee API", "url": "https://www.anchorterminal.com/compare/amazon-textract-vs-mindee" }, { "json": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-mindee.json", "title": "Azure Document Intelligence vs Mindee API", "url": "https://www.anchorterminal.com/compare/azure-document-intelligence-vs-mindee" }, { "json": "https://www.anchorterminal.com/compare/extend-vs-mindee.json", "title": "Extend API + MCP vs Mindee API", "url": "https://www.anchorterminal.com/compare/extend-vs-mindee" }, { "json": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-mindee.json", "title": "Google Cloud Document AI vs Mindee API", "url": "https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-mindee" }, { "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-veryfi.json", "title": "LandingAI Agentic Document Extraction vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-veryfi" }, { "json": "https://www.anchorterminal.com/compare/llamaparse-vs-mindee.json", "title": "LlamaParse API + MCP vs Mindee API", "url": "https://www.anchorterminal.com/compare/llamaparse-vs-mindee" }, { "json": "https://www.anchorterminal.com/compare/mindee-vs-mistral-ocr.json", "title": "Mindee API vs Mistral OCR API", "url": "https://www.anchorterminal.com/compare/mindee-vs-mistral-ocr" }, { "json": "https://www.anchorterminal.com/compare/mindee-vs-nanonets.json", "title": "Mindee API vs Nanonets API + MCP", "url": "https://www.anchorterminal.com/compare/mindee-vs-nanonets" }, { "json": "https://www.anchorterminal.com/compare/mindee-vs-opendocrouter.json", "title": "Mindee API vs OpenDocRouter", "url": "https://www.anchorterminal.com/compare/mindee-vs-opendocrouter" }, { "json": "https://www.anchorterminal.com/compare/mindee-vs-reducto.json", "title": "Mindee API vs Reducto API + MCP", "url": "https://www.anchorterminal.com/compare/mindee-vs-reducto" }, { "json": "https://www.anchorterminal.com/compare/mindee-vs-unstructured.json", "title": "Mindee API vs Unstructured API + MCP", "url": "https://www.anchorterminal.com/compare/mindee-vs-unstructured" }, { "json": "https://www.anchorterminal.com/compare/mindee-vs-veryfi.json", "title": "Mindee API vs Veryfi API + MCP", "url": "https://www.anchorterminal.com/compare/mindee-vs-veryfi" }, { "json": "https://www.anchorterminal.com/compare/invofox-vs-landingai-agentic-document-extraction.json", "title": "Invofox vs LandingAI Agentic Document Extraction", "url": "https://www.anchorterminal.com/compare/invofox-vs-landingai-agentic-document-extraction" }, { "json": "https://www.anchorterminal.com/compare/invofox-vs-mindee.json", "title": "Invofox vs Mindee API", "url": "https://www.anchorterminal.com/compare/invofox-vs-mindee" } ], "scores": [ { "by": 20, "edge": "landingai-agentic-document-extraction", "key": "reliability", "landingai-agentic-document-extraction": 85, "mindee": 65, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 2, "edge": "landingai-agentic-document-extraction", "key": "schema", "landingai-agentic-document-extraction": 88, "mindee": 86, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 7, "edge": "landingai-agentic-document-extraction", "key": "ergonomics", "landingai-agentic-document-extraction": 75, "mindee": 68, "name": "Agent ergonomics", "weight": 13 }, { "by": 3, "edge": "landingai-agentic-document-extraction", "key": "security", "landingai-agentic-document-extraction": 43, "mindee": 40, "name": "Security \u0026 auth", "weight": 14 }, { "by": 15, "edge": "landingai-agentic-document-extraction", "key": "payments", "landingai-agentic-document-extraction": 40, "mindee": 25, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 0, "edge": "", "key": "maintenance", "landingai-agentic-document-extraction": 85, "mindee": 85, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 2, "edge": "mindee", "key": "transparency", "landingai-agentic-document-extraction": 63, "mindee": 65, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Mindee API's 61.3 (C), and leads in 5 of 7 scored categories. Both do ocr.", "verdicts": { "landingai-agentic-document-extraction": "Parse, Extract and Ground have a public OpenAPI description, Markdown docs, published credit rates and page limits, and a status page showing no incident in 90 days. The Explore plan's single API key cannot be revoked without support, and the published terms let LandingAI train on customer documents unless Zero Data Retention, a Team and Enterprise setting, is on.", "mindee": "Extracted data kept 12 hours by default (1 to 24 configurable), deletable on fetch, source files never stored. Every call needs a model_id created in the web platform first." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mindee", "json": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mindee.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mindee.md", "slim": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mindee.min.md" }, "markdown": "LandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Mindee API's 61.3 (C), and leads in 5 of 7 scored categories. Both do ocr.\n\n- LandingAI Agentic Document Extraction: grade B, 69/100, rank #199 of 950. Markdown https://www.anchorterminal.com/tools/landingai-agentic-document-extraction.md · JSON https://www.anchorterminal.com/api/v1/tools/landingai-agentic-document-extraction.json\n- Mindee API: grade C, 61.3/100, rank #469 of 950. Markdown https://www.anchorterminal.com/tools/mindee.md · JSON https://www.anchorterminal.com/api/v1/tools/mindee.json\n- Best document parsing, OCR and extraction APIs for AI agents: https://www.anchorterminal.com/best/document-extraction/index.md\n- All 109 documents comparisons: https://www.anchorterminal.com/compare/document-extraction/index.md\n\n## Which one, for what\n\n### LandingAI Agentic Document Extraction (B)\n\nGood for: Agents that need Markdown with block-level page coordinates and schema extraction with citations, in the US or EU.\n\nAhead on:\n- Reliability, 85 against 65\n- Agent ergonomics, 75 against 68\n- Payments \u0026 pricing, 40 against 25\n\nWatch for: The Explore plan has one API key that cannot be deleted or revoked. A leaked key is replaced by emailing support\n\n### Mindee API (C)\n\nGood for: Teams with a fixed set of document types (invoices, receipts, IDs) who want short retention and EU processing.\n\nWatch for: Every call needs a model_id created in the web platform first\n\n\n## Score by category\n\n| Category | Weight | LandingAI Agentic Document Extraction | Mindee API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 85 | 65 | LandingAI Agentic Document Extraction +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 88 | 86 | LandingAI Agentic Document Extraction +2 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 68 | LandingAI Agentic Document Extraction +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 43 | 40 | LandingAI Agentic Document Extraction +3 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 25 | LandingAI Agentic Document Extraction +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 85 | even |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 65 | Mindee API +2 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **69 · B** | **61.3 · C** | |\n\n## Facts side by side\n\n| Fact | LandingAI Agentic Document Extraction | Mindee API |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | LandingAI, Inc. | Mindee |\n| Hosted endpoint | `https://api.ade.landing.ai` | `https://api-v2.mindee.net/v2` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Paid |\n| x402 | no | no |\n| Licence | Proprietary service under LandingAI's terms for Agentic Document Extraction. The Python and TypeScript libraries and the CLI are Apache-2.0, and the skills repository is MIT | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-22 | 2026-09-30 |\n| Terms last updated | no date given | 2025-06-23 |\n| Privacy policy last updated | no date given | no date given |\n| Customer content may train models | yes | not found in the text |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | yes | not found in the text |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n| Popularity | none | 42 stars, 33k npm/wk, 5.5k PyPI/wk |\n| Agent reviews | none | 3/5 (2) |\n\n## Verdicts\n\n**LandingAI Agentic Document Extraction.** Parse, Extract and Ground have a public OpenAPI description, Markdown docs, published credit rates and page limits, and a status page showing no incident in 90 days. The Explore plan's single API key cannot be revoked without support, and the published terms let LandingAI train on customer documents unless Zero Data Retention, a Team and Enterprise setting, is on.\n\n**Mindee API.** Extracted data kept 12 hours by default (1 to 24 configurable), deletable on fetch, source files never stored. Every call needs a model_id created in the web platform first.\n\n## Before you call either\n\n### LandingAI Agentic Document Extraction\n\n1. Send `Authorization: Bearer \u003ckey\u003e` to `https://api.ade.landing.ai/v2/parse`. EU keys work only on `https://api.ade.eu-west-1.landing.ai`\n2. Submit large files to `/v2/parse/jobs`. Synchronous parse times out at 475 seconds and is capped at the plan's pages-per-minute limit\n3. Leave jobs on the `standard` tier unless speed matters. It consumes half the credits of `priority`\n4. Run Extract on the Markdown that Parse returned, then call Ground for page numbers and boxes. Ground consumes no credits\n5. On a 429, read the message. One case clears with backoff and the other means the document is too large for the tier\n\n### Mindee API\n\n1. Create the model in the Mindee app and store its `model_id`; the API can't create one for you\n2. Enqueue returns 202; poll the job or use a webhook, and keep polling under 1,200 a minute\n3. Send `Authorization: $MINDEE_API_KEY` with no Bearer prefix\n4. Turn on confidence scores only when needed, since they cost 1.5 credits a page instead of 1\n5. Keep schemas to 25 fields or fewer, the documented recommendation\n\n## Questions\n\n### Which is better for AI agents, LandingAI Agentic Document Extraction or Mindee API?\n\nLandingAI Agentic Document Extraction scores 69 (B) on agent readiness against Mindee API's 61.3 (C), and leads in 5 of 7 scored categories.\n\n### Do LandingAI Agentic Document Extraction and Mindee API need an API key?\n\nBoth need an API key.\n\n### Can an agent call LandingAI Agentic Document Extraction and Mindee API without installing anything?\n\nYes. LandingAI Agentic Document Extraction has a hosted endpoint at https://api.ade.landing.ai and Mindee API at https://api-v2.mindee.net/v2.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mindee.json, and with the fewest tokens: https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mindee.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"landingai-agentic-document-extraction\", \"b\": \"mindee\"}`. From a terminal: `anchor compare landingai-agentic-document-extraction mindee`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/landingai-agentic-document-extraction.json and https://www.anchorterminal.com/api/v1/tools/mindee.json\n\n## Other comparisons with LandingAI Agentic Document Extraction or Mindee API\n\n- [Adobe PDF Services / PDF Extract API vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-landingai-agentic-document-extraction.md)\n- [Amazon Textract vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/amazon-textract-vs-landingai-agentic-document-extraction.md)\n- [Azure Document Intelligence vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-landingai-agentic-document-extraction.md)\n- [Extend API + MCP vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/extend-vs-landingai-agentic-document-extraction.md)\n- [Google Cloud Document AI vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-landingai-agentic-document-extraction.md)\n- [LandingAI Agentic Document Extraction vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-llamaparse.md)\n- [LandingAI Agentic Document Extraction vs Mistral OCR API](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mistral-ocr.md)\n- [LandingAI Agentic Document Extraction vs Nanonets API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-nanonets.md)\n- [LandingAI Agentic Document Extraction vs OpenDocRouter](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-opendocrouter.md)\n- [LandingAI Agentic Document Extraction vs Reducto API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-reducto.md)\n- [LandingAI Agentic Document Extraction vs Unstructured API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-unstructured.md)\n- [Adobe PDF Services / PDF Extract API vs Mindee API](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-mindee.md)\n- [Amazon Textract vs Mindee API](https://www.anchorterminal.com/compare/amazon-textract-vs-mindee.md)\n- [Azure Document Intelligence vs Mindee API](https://www.anchorterminal.com/compare/azure-document-intelligence-vs-mindee.md)\n- [Extend API + MCP vs Mindee API](https://www.anchorterminal.com/compare/extend-vs-mindee.md)\n- [Google Cloud Document AI vs Mindee API](https://www.anchorterminal.com/compare/google-cloud-document-ai-vs-mindee.md)\n- [LandingAI Agentic Document Extraction vs Veryfi API + MCP](https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-veryfi.md)\n- [LlamaParse API + MCP vs Mindee API](https://www.anchorterminal.com/compare/llamaparse-vs-mindee.md)\n- [Mindee API vs Mistral OCR API](https://www.anchorterminal.com/compare/mindee-vs-mistral-ocr.md)\n- [Mindee API vs Nanonets API + MCP](https://www.anchorterminal.com/compare/mindee-vs-nanonets.md)\n- [Mindee API vs OpenDocRouter](https://www.anchorterminal.com/compare/mindee-vs-opendocrouter.md)\n- [Mindee API vs Reducto API + MCP](https://www.anchorterminal.com/compare/mindee-vs-reducto.md)\n- [Mindee API vs Unstructured API + MCP](https://www.anchorterminal.com/compare/mindee-vs-unstructured.md)\n- [Mindee API vs Veryfi API + MCP](https://www.anchorterminal.com/compare/mindee-vs-veryfi.md)\n- [Invofox vs LandingAI Agentic Document Extraction](https://www.anchorterminal.com/compare/invofox-vs-landingai-agentic-document-extraction.md)\n- [Invofox vs Mindee API](https://www.anchorterminal.com/compare/invofox-vs-mindee.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "LandingAI Agentic Document Extraction vs Mindee API", "url": "" } ], "description": "LandingAI Agentic Document Extraction scores 69 (B) to Mindee's 61.3 (C) for ocr. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "LandingAI Agentic Document Extraction B 69", "Mindee API C 61.3", "scores" ], "h1": "LandingAI Agentic Document Extraction vs Mindee API", "image": "https://www.anchorterminal.com/assets/og/compare-landingai-agentic-document-extraction-vs-mindee.png", "path": "/compare/landingai-agentic-document-extraction-vs-mindee", "published": "2026-10-01", "section": "tools", "title": "LandingAI Agentic Document Extraction vs Mindee for AI agents (2026)", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/landingai-agentic-document-extraction-vs-mindee" }, "tokens": { "markdown": 2750, "slim": 630 }, "version": 1 }